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Data source: US Social Security Administration
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Popularity of the first name Debbie correlates with...

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Kerosene used in Mexicor=0.9740yrs430
Carjackings in the USr=0.9627yrs424
Average number of milk cows in the United Statesr=0.9243yrs420
Burglaries in New Yorkr=0.9838yrs418
Arson in New Yorkr=0.9738yrs417
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Idahor=0.9523yrs412
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
Kerosene used in Uruguayr=0.9542yrs399
Air pollution in San Diego, Californiar=0.9643yrs396
Burglaries in Californiar=0.9738yrs387
Physical album shipment volume in the United Statesr=0.9524yrs382
The marriage rate in Alabamar=0.9523yrs382
Burglaries in Connecticutr=0.9738yrs377
The wind speed in Austinr=0.9239yrs374
US milk fat used to produce fluid beverage milkr=0.922yrs373
The wind speed in Nashviller=0.9139yrs373
Gasoline pumped in Bulgariar=0.9442yrs368
Motor vehicle thefts in Massachusettsr=0.9738yrs367
Customer satisfaction with Verizonr=0.8728yrs366
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in Los Angelesr=0.9243yrs363
The average number of likes on MinuteEarth YouTube videosr=0.9410yrs363
GMO use in cottonr=0.9223yrs360
Number of edits to the Wikipedia article for Thanksgivingr=0.8816yrs358
The number of prepress technicians and workers in Illinoisr=0.9420yrs357
The number of conveyor operators in New Jerseyr=0.9420yrs357
The number of typists in North Carolinar=0.9420yrs357
Kerosene used in Portugalr=0.9343yrs357
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9422yrs356
US household spending on clothingr=0.9123yrs356
Burglaries in Colorador=0.9638yrs356
AIG's stock price (AIG)r=0.8521yrs354
US household spending on booksr=0.923yrs354
The divorce rate in Alabamar=0.9423yrs352
Robberies in Oregonr=0.9638yrs346
Petroluem consumption in Bulgariar=0.9342yrs346
The divorce rate in North Carolinar=0.9423yrs342
Kerosene used in Venezuelar=0.9342yrs336
Air pollution in New York Cityr=0.9143yrs332
The marriage rate in Arkansasr=0.9423yrs330
The number of file clerks in Arkansasr=0.9320yrs326
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9322yrs324
Kerosene used in Ecuadorr=0.9242yrs324
Air pollution in Oxnard, Californiar=0.9541yrs322
Arson in United Statesr=0.9338yrs321
The marriage rate in Wyomingr=0.9423yrs320
The number of telemarketers in Californiar=0.9220yrs316
Petroluem consumption in Romaniar=0.9242yrs314
US average milk-fat content of frozen dairy productsr=0.9322yrs314
Burglary rates in the USr=0.9338yrs311
Air pollution in San Diego, Californiar=0.9243yrs310
The divorce rate in Kentuckyr=0.9223yrs308
The number of file clerks in Colorador=0.9320yrs306
Gasoline pumped in Somaliar=0.9142yrs303
The divorce rate in Tennesseer=0.9223yrs298
Air pollution in Spokane, Washingtonr=0.9143yrs298
The number of postal service machine operators in Connecticutr=0.9320yrs296
The marriage rate in Tennesseer=0.9223yrs287
The number of bill collectors in Indianar=0.9220yrs286
Air pollution in Norwich, Connecticutr=0.942yrs286
Burglaries in Rhode Islandr=0.9538yrs284
Jet fuel used in Ukrainer=0.930yrs280
The divorce rate in Wyomingr=0.9123yrs277
The number of postal service machine operators in Iowar=0.9320yrs276
Air pollution in Steamboat Springs, Colorador=0.9338yrs276
Motor vehicle thefts in Oklahomar=0.9538yrs274
Petroluem consumption in Uzbekistanr=0.930yrs270
The marriage rate in South Carolinar=0.9123yrs266
The number of postal service machine operators in Missourir=0.9320yrs266
Robberies in New Yorkr=0.9538yrs264
The marriage rate in South Dakotar=0.9123yrs256
Liquefied petroleum gas used in Greenlandr=0.9322yrs256
The number of postal service machine operators in New Mexicor=0.9320yrs256
Arson in Colorador=0.9438yrs252
The marriage rate in Virginiar=0.9123yrs246
The number of postal service machine operators in Virginiar=0.9320yrs246
Burglaries in Floridar=0.9438yrs242
The divorce rate in Mississippir=0.923yrs236
The number of prepress technicians and workers in Washingtonr=0.9320yrs236
Burglaries in Minnesotar=0.9438yrs232
Kerosene used in Boliviar=0.942yrs232
The number of postal service machine operators in Wisconsinr=0.9320yrs226
The marriage rate in Arizonar=0.923yrs224
Burglaries in Montanar=0.9438yrs222
Kerosene used in Hong Kongr=0.942yrs222
The number of brickmasons in Alabamar=0.9220yrs214
Burglaries in New Mexicor=0.9438yrs212
Kerosene used in Norwayr=0.8943yrs211
The number of postal service machine operators in Arkansasr=0.9220yrs204
Burglaries in Oklahomar=0.9438yrs202
Kerosene used in Argentinar=0.8942yrs200
The number of postal service machine operators in Colorador=0.9220yrs194
Burglaries in Oregonr=0.9438yrs192
Gasoline pumped in Cubar=0.8942yrs190
The number of postal service machine operators in Illinoisr=0.9220yrs184
Kerosene used in Cubar=0.8942yrs180
The number of postal service machine operators in Indianar=0.9220yrs174
Kerosene used in Thailandr=0.8942yrs170
The number of postal service machine operators in Kansasr=0.9220yrs164


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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)
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